Neural Network Package Validation 2 - Salsabila Mahdi
Google Summer of Code
Abstract (from proposal)
The purpose of this project is to verify the convergence of the training algorithms provided in 69 Neural Network R packages available on CRAN to date. Neural networks often must be trained with second order algorithms and not with the first order algorithms as many packages seem to use instead. Due to the large number of packages to validate, the work has been split among two students. Being Student 2, I will validate 34 packages and prepare one article to be published in the R-Journal. At the end of the program, a package will be made available to Neural Network package authors and maintainers to verify and test new algorithms by themselves. The results of this project could be used to make better neural network packages in the future, improve the ones currently being used, or simply know how the neural network packages actually perform.